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Proceedings Paper

Scale and rotation invariant ship recognition using log-polar mapping and two-dimensional PCA
Author(s): Yi Chao; Guangzhou Zhao
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Paper Abstract

A novel scale and rotation invariant ship recognition method using log-polar mapping and two-dimensional principal component analysis (2DPCA) is proposed. Log-polar mapping is very useful for eliminating the rotation and scale effects. 2DPCA is used to extract ship feature from normalized log-polar image become scale and rotation invariant. Experimental results show that the proposed method has improved recognition performance.

Paper Details

Date Published: 8 December 2011
PDF: 6 pages
Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 800319 (8 December 2011); doi: 10.1117/12.902762
Show Author Affiliations
Yi Chao, Beijing Institute of Control and Electronic Technology (China)
Guangzhou Zhao, Beijing Institute of Control and Electronic technology (China)


Published in SPIE Proceedings Vol. 8003:
MIPPR 2011: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Nong Sang, Editor(s)

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